电力系统及其自动化学报2017，Vol.29Issue(6)：35-44,10.DOI:10.3969/j.issn.1003-8930.2017.06.006
采用改进BBO算法的并网型微电网电源优化配置
Optimal Allocation of Power Supply of Grid-connected Microgrid Using Improved Biogeography-based Optimization Algorithm
摘要
Abstract
For the problem about optimal allocation of distributed generations of gird-connected microgrid,this paper puts forward an optimal allocation model with constraints such as output power of distributed generations,self-balanc-ing level and redundancy level. The proposed model considers the minimization of annual comprehensive economic in-vestment as the objective function,including annual equivalent investment cost of equipment,operation cost,fuel cost,environment reduced cost,annual electricity purchasing cost,as well as income of selling surplus power. Mean-while ,an improved biogeography-based optimization(BBO)algorithm is proposed for solving the mentioned model based on cosine migration model,mutative-scale piecewise Logistic chaotic and Gaussian mutation strategy. The simula-tion results verify the rationality of the mentioned model,and show that the improved BBO algorithm has better perfor-mance in convergence rate and convergence precision.关键词
分布式电源优化配置/并网型微电网/自平衡度/生物地理学优化算法/迁移模型/变异策略Key words
optimal allocation of distributed generations/grid-connected microgrid/self-balancing level/biogeogra-phy-based optimization(BBO)algorithm/migration model/mutation strategy分类
信息技术与安全科学引用本文复制引用
吕智林,王先齐,谭颖..采用改进BBO算法的并网型微电网电源优化配置[J].电力系统及其自动化学报,2017,29(6):35-44,10.基金项目
国家自然科学基金资助项目(61364027) （61364027）
广西自然科学基金资助项目(2014GXNSFAA118384) （2014GXNSFAA118384）
